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0.30257347, 0.7467335 , 0.22977843, 0.28757741, 0.34532409,
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0.00193844, 0.00415273, 0.00494929, 0.00498716, 0.00464347,
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5.56981930e-05, 2.69151345e-05, 5.90351556e-05, 6.40793610e-05,
2.06838346e-04, 8.87990790e-05, 4.20566859e-05, 6.96304756e-05,
5.20332695e-05, 1.29397835e-04, 5.11034471e-05, 9.66675472e-05,
3.65746922e-05, 3.71709475e-05, 3.91228906e-05, 7.25759470e-05]), 'param_n_estimators': masked_array(data=[4, 5, 6, 15, 4, 5, 6, 15, 4, 5, 6, 15, 4, 5, 6, 15, 4,
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mask=[False, False, False, False, False, False, False, False,
False, False, False, False, False, False, False, False,
False, False, False, False],
fill_value='?',
dtype=object), 'param_max_depth': masked_array(data=[5, 5, 5, 5, 10, 10, 10, 10, 15, 15, 15, 15, 20, 20, 20,
20, 50, 50, 50, 50],
mask=[False, False, False, False, False, False, False, False,
False, False, False, False, False, False, False, False,
False, False, False, False],
fill_value='?',
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-0.10987671, -0.10723281, -0.1138926 , -0.11700219, -0.1005808 ,
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-0.0821747 , -0.1030752 , -0.09097687, -0.09328188, -0.08359477]), 'split6_test_score': array([-0.20152554, -0.20649447, -0.19026737, -0.20397956, -0.12777746,
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